Machine learning is all the rage, and eBay is buying its way in via an acquisition of a startup named SalesPredict. SalesPredict is a learning engine that uses your order history to suggest new items you might want to buy. It's also well suited for marketing, helping businesses target only those who are most likely to buy a product or service. To that, eBay seems to be trying to compete with Amazon; look at a product on Amazon, and a carousel on the front page changes to show you that and similar items, as well as any complimentary purchases you may want to make. In a statement, Vice President and General Manager of Structured Data at eBay Amit Menipaz said "SalesPredict's deep expertise in predictive analytics and machine learning will contribute to eBay's structured data efforts. For our buyers, it will help us better understand the price differentiating attributes of our products, and, for our sellers, it will help us build out the predictive models that can define the probability of selling a given product, at a given price over time."

The spectacled bear (Tremarctos ornatus), also known as Spectacled bear, spectacled bear, South American bear, ucumari and Jukumari, is a species of carnivorous mammal of the Ursidae family. He is currently in danger of extinction, in order to let more people know of this great Venezuelan Bear, is to set up this chat in which you spoke with the spectacled bear, and you can lead a normal conversation, a common chat, and you information of the didactically, among the questions that you can do it are: * Ask him where ers * Ask him eating * Preguntale weight * Tell you speak * Tell your name * Ask how your name * Ask him jokes Well these are some of the many ways in which can interact with, so download it and try to chat with yourself, and put it to the test, you can write like you talk. Thus we aware of the existence of this great bear, and the more people you know the easier it will prevent their extinction.

The computer vision API that gives you total control and flexibility. It doesn't matter if you move your data centre or change your software stack - MonocularAPI works anytime, anywhere. Unlike many other computer vision APIs, MonocularAPI is user trainable, meaning that any user -technical or not- can train machine learning models to identify certain objects and features, using either the Visual Training Lab or the API endpoints available. MonocularAPI doesn't constrain you to certain use cases. Whilst we offer the standard features you'd expect such as face detection, facial recognition, and object tracking, we also expose raw and highly customisable end points such as erosion and dilation - allowing you to chain commands together with our detectors or yours, building your own algorithms. If there's a problem you need solved or a use case you can't quite fit with MonocularAPI, Jemsoft's enterprise division can likely solve it for you.

A robot has been built with the specific intention of possibly harming someone, a decision it makes of its own volition at least insofar as a robot can. Alexander Reben, a kinetic engineer and an artist, has built the robot to challenge one of the most famous pop cultural rules of robotics and artificial intelligence, Asimov's Three Laws. The Laws, invented by science fiction legend Isaac Asimov, were meant to counteract the the status quo of sci-fi, what Asimov felt were dreary ministrations about the potential dangers of technology. First, a robot may not injure a human being or, through inaction, allow a human being to come to harm. Second, a robot must obey the orders given it by human beings except where such orders would conflict with the First Law.

Siri, Cortana, Google and Alexa go about their business differently in responding to Ed Baig's questions. NEW YORK-- You may already be on a first-name basis with Siri, Cortana, Google or Alexa, the Fab Four of voice-activated digital assistants. Now that relationship is expanding from one device (typically a smartphone) to many. The major tech companies are putting these digital assistants, powered by artificial intelligence algorithms and activated by voice, into multiple products. And the field is about to get a new name, with the founders of Siri introducing an AI-driven virtual assistant called Viv at the TechCrunch Disrupt conference in New York Monday.

By an overwhelming 3-to-1 margin, Swiss voters have rejected a proposal that would have guaranteed all residents a monthly income whether they worked or not. Yet supporters of the concept elsewhere are not taking the Swiss no for an answer. Frequently proposed in the past, guaranteed income for all is back in vogue because of fears that robots and artificial intelligence threaten whole categories of jobs, especially for less skilled workers, and that any remaining jobs will be unstable gigs. Economists' usual prescription is greater investment in education and training, to equip people for high-paying work. Backers span the ideological spectrum: Andy Stern, ultra-liberal former president of the Service Employees International Union, cites straightforward social-justice arguments as the title of his new book Raising the Floor suggests.

Investigations by the National Highway Traffic Safety Administration and the National Transportation Safety Board into accidents involving the company's Autopilot technology might suggest as much. In an industry that can seem ridiculously old-fashioned and slow-moving, it may be hard to know just how far to push. And Tesla has forged a remarkable success story by taking risks and breaking the conventions of carmaking with new technologies. With all the excitement over electric vehicles, self-driving technologies, and Uber-like apps, it can be easy to forget that the car industry is more than 100 years old, and nearly impossible for a startup to break into. It is fiercely competitive and is built on razor-thin margins.

Lexalytics, the leader in cloud and on-prem text analytics solutions, today announced that Chief Marketing Officer Seth Redmore will present "Natural Language Machine Learning: A Method and a Challenge to our Industry Competitors, Partners, and Friends" at the Sentiment Analysis Symposium in New York on July 12. While Machine Learning has the potential to positively impact every aspect of a business, access to date has been very limited. Seth will discuss the critical industry need for the machine learning industry to develop a more broad, user-friendly method to interact with machine learning, asserting that words (natural language) are the easiest for a user to comprehend. With over 20 years of combined experience in product management, marketing, text analytics and machine learning, Seth is currently the CMO of text analytics leader Lexalytics. Prior to this role, Seth held executive positions at both hardware and software companies, including co-founder of Netiverse (acquired by Cisco Systems).

Jaguar Land Rover is working on a raft of technology that could enable its future production cars to drive autonomously off-road as well as on-road. The research project aims to make JLR's self-driving cars viable in a wide range of on- and off-road driving environments and conditions. To enable autonomous all-terrain capability, JLR is working on new sensing technologies to provide the high levels of artificial intelligence required for the car to plan the route it should take. New surface identification and 3D path sensing systems use camera, ultrasonic, radar and lidar sensors to give the car a 360-degree view of the world around it. JLR says the combined power of the sensors is so advanced that the car could determine road surface characteristics, down to the width of a tyre, even in rain and falling snow, to plan its route.

Nearly every big tech company now offers a digital assistant powered by artificial intelligence. Apple has Siri, Facebook has M, Microsoft has Cortana, Amazon has Alexa, and Google has, well, Google. The success of these services is heavily dependent on the mountains of data they have at their disposal -- along with massive amounts of computing power to crunch that data, understand user queries, and respond in real time. This reality raises an obvious question: how can startups without their own server farms and massive customer bases hope to compete? Companies like Hound and Viv want to build standalone apps that consumers will use in place of the assistants built into their smartphones.